SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Showing 501550 of 14581 papers

TitleStatusHype
Improving Self-Organizing Maps with Unsupervised Feature ExtractionCode1
Improving the Resolution of CNN Feature Maps Efficiently with MultisamplingCode1
IndoFashion : Apparel Classification for Indian Ethnic ClothesCode1
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal AlignmentsCode1
Industrial Machine Tool Component Surface Defect DatasetCode1
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning SystemsCode1
Instance-based Counterfactual Explanations for Time Series ClassificationCode1
Instance Localization for Self-supervised Detection PretrainingCode1
Intent Classification and Slot Filling for Privacy PoliciesCode1
Interactive Classification by Asking Informative QuestionsCode1
A Two-Stage Approach to Device-Robust Acoustic Scene ClassificationCode1
Automatically Discovering and Learning New Visual Categories with Ranking StatisticsCode1
Background Data Resampling for Outlier-Aware ClassificationCode1
Benchmarking Natural Language Understanding Services for building Conversational AgentsCode1
A Survey of Deep Learning Techniques for Weed Detection from ImagesCode1
An Empirical Study of Graph-Based Approaches for Semi-Supervised Time Series ClassificationCode1
Asymmetric Loss For Multi-Label ClassificationCode1
A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-ConsistencyCode1
A Self-Attention Network based Node Embedding ModelCode1
Association Graph Learning for Multi-Task Classification with Category ShiftsCode1
A Survey on Text Classification: From Shallow to Deep LearningCode1
A Practioner's Guide to Evaluating Entity Resolution ResultsCode1
Dendrite Net: A White-Box Module for Classification, Regression, and System IdentificationCode1
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained ClassificationCode1
Anonymous Walk EmbeddingsCode1
Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG ClassificationCode1
A Novel Adaptive Minority Oversampling Technique for Improved Classification in Data Imbalanced ScenariosCode1
A new Backdoor Attack in CNNs by training set corruption without label poisoningCode1
An evidential classifier based on Dempster-Shafer theory and deep learningCode1
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot LearningCode1
A pipeline for fair comparison of graph neural networks in node classification tasksCode1
AP-Loss for Accurate One-Stage Object DetectionCode1
An Unsupervised Autoregressive Model for Speech Representation LearningCode1
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object DetectionCode1
The MAMe Dataset: On the relevance of High Resolution and Variable Shape image propertiesCode1
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node ClassificationCode1
Are These Birds Similar: Learning Branched Networks for Fine-grained RepresentationsCode1
A Self-supervised Approach for Adversarial RobustnessCode1
A Transformer-based Framework for Multivariate Time Series Representation LearningCode1
A Structured Self-attentive Sentence EmbeddingCode1
A Closer Look at Few-shot ClassificationCode1
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data SetCode1
R&R: Metric-guided Adversarial Sentence GenerationCode1
Attentional-Biased Stochastic Gradient DescentCode1
Attention Transfer Network for Aspect-level Sentiment ClassificationCode1
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text ClassificationCode1
A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency LossCode1
A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian ProcessesCode1
Automated detection of COVID-19 cases using deep neural networks with X-ray imagesCode1
An Empirical Study of Example Forgetting during Deep Neural Network LearningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1Unverified
2RFAccuracy92.96Unverified
3CARTAccuracy92.82Unverified
4LDAAccuracy77.22Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100Unverified
2XBNETAccuracy100Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100Unverified